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| -rwxr-xr-x | setup.py | 27 |
1 files changed, 12 insertions, 15 deletions
@@ -1,23 +1,20 @@ #!/usr/bin/env python -"""NumPy: array processing for numbers, strings, records, and objects. +""" NumPy is the fundamental package for array computing with Python. -NumPy is a general-purpose array-processing package designed to -efficiently manipulate large multi-dimensional arrays of arbitrary -records without sacrificing too much speed for small multi-dimensional -arrays. NumPy is built on the Numeric code base and adds features -introduced by numarray as well as an extended C-API and the ability to -create arrays of arbitrary type which also makes NumPy suitable for -interfacing with general-purpose data-base applications. +It provides: -There are also basic facilities for discrete fourier transform, -basic linear algebra and random number generation. +- a powerful N-dimensional array object +- sophisticated (broadcasting) functions +- tools for integrating C/C++ and Fortran code +- useful linear algebra, Fourier transform, and random number capabilities +- and much more -All numpy wheels distributed from pypi are BSD licensed. +Besides its obvious scientific uses, NumPy can also be used as an efficient +multi-dimensional container of generic data. Arbitrary data-types can be +defined. This allows NumPy to seamlessly and speedily integrate with a wide +variety of databases. -Windows wheels are linked against the ATLAS BLAS / LAPACK library, restricted -to SSE2 instructions, so may not give optimal linear algebra performance for -your machine. See https://docs.scipy.org/doc/numpy/user/install.html for -alternatives. +All NumPy wheels distributed on PyPI are BSD licensed. """ from __future__ import division, print_function |